Adaptive Fuzzy Sliding Mode Control for uncertain nonlinear SISO systems

Amieur, Toufik; Sedraoui, Moussa; Amieur, Oualid; Djeddi, Abdelghani; Houam, Yehya

doi:10.1109/sta.2014.7086717

Cited by 2 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…11,12 By integrating adaptive fuzzy and SMC, various types of interesting methods are formed. 13 In Amieur et al., 14 adaptive fuzzy SMC (AFSMC) alongside with feedback linearization has been explored. Application of AFSMC for a flexible robot 15 and a hypersonic vehicle control has also been reported.…”

Section: Introductionmentioning

confidence: 99%

The choice of sliding surface for robust roll control: Better suppression of high angle of attack/sideslip perturbations

Seyedtabaii

Delavari

2018

International Journal of Micro Air Vehicles

View full text Add to dashboard Cite

The nominal aerodynamic parameters of aircraft are often approximate and aircraft may experience high value of angle of attack/sideslip perturbations during their manoeuvres. Preventing instability and air crash requires a robust controller capable of containing the dynamic uncertainty and the perturbations. In this respect, the problems of roll control in such a situation are studied and a better choice of sliding surface is proposed. Sliding mode control manages the uncertainty and adaptive fuzzy is employed to shape the transient response. As a result, a setup is formed which outperforms the basic controller both in terms of transient speed, response robustness and control effort. The strength of the method is more appreciated in case of high angle of attack/sideslip perturbed manoeuvres. This is proved theoretically and illustrated by simulations.

show abstract